Être, devenir et ne plus être janûbi : parcours de l’identité « sudiste » entre le CPA et l’après 2011 dans un quartier populaire de la ville de Khartoum (Deim)
Bibliographic record
Abstract
The paper is an attempt to apply the constructive and anti-primordialist approach to the issues of ethnicity and identity - an approach introduced in anthropology as a fruitful interpretative framework since the seminal work of F. Barth (1969) - to the analysis of ethnographical data collected between 2008 and 2015 in a lower-class quarter of central Khartoum, Deim. More precisely, we focus on the labels of « Southerner » (janûbi) and « Northerner » (shimâli), and how they are conceived and performed by the inhabitants of this quarter. By embedding the identity categorizations of local inhabitants in the particular history of the quarter’s genesis, during the colonial period, and its further development, parallel to urbanization dynamics of the capital, we underline two of the main issues regarding ethnicity and other identity dynamics. First, the active process of the construction of an overarching identity as « Dayâma » taking into account the plurality of ethno-tribal cultural representations through the insistence of an underlying class dimension. Second, the shifting borders of the ambiguous dichotomy of “Southern”/”Northern” and its cultural contents, whose political value is enhanced within the wider context of identity reconfigurations after the benchmark of South Sudan’s separation in 2011.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".